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dimRed (version 0.2.6)
A Framework for Dimensionality Reduction
Description
A collection of dimensionality reduction techniques from R packages and a common interface for calling the methods.
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0.2.6
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Install
install.packages('dimRed')
Monthly Downloads
1,587
Version
0.2.6
License
GPL-3 | file LICENSE
Maintainer
Guido Kraemer
Last Published
July 11th, 2022
Functions in dimRed (0.2.6)
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DiffusionMaps-class
Diffusion Maps
AUC_lnK_R_NX,dimRedResult-method
Method AUC_lnK_R_NX
AutoEncoder-class
AutoEncoder
NNMF-class
Non-Negative Matrix Factorization
MDS-class
Metric Dimensional Scaling
LCMC,dimRedResult-method
Method LCMC
dimRedData-class
Class "dimRedData"
HLLE-class
Hessian Locally Linear Embedding
LaplacianEigenmaps-class
Laplacian Eigenmaps
dimRedResult-class
Class "dimRedResult"
getOtherData
Method getOtherData
dimRedMethodList
dimRedMethodList
getOrgData
Method getOrgData
getMeta
Method getMeta
Q_local,dimRedResult-method
Method Q_local
makeKNNgraph
makeKNNgraph
maximize_correlation,dimRedResult-method
Maximize Correlation with the Axes
as.dimRedData
Converts to dimRedData
R_NX,dimRedResult-method
Method R_NX
tSNE-class
t-Distributed Stochastic Neighborhood Embedding
getPars
Method getPars
cophenetic_correlation,dimRedResult-method
Method cophenetic_correlation
getRotationMatrix
getRotationMatrix
reconstruction_error,dimRedResult-method
Method reconstruction_error
getNDim
Method getNDim
dimRedMethod-class
Class "dimRedMethod"
installSuggests
getSuggests
total_correlation,dimRedResult-method
Method total_correlation
kPCA-class
Kernel PCA
dataSets
Example Data Sets for dimensionality reduction
nMDS-class
Non-Metric Dimensional Scaling
PCA-class
Principal Component Analysis
Q_NX,dimRedResult-method
Method Q_NX
ndims
Method ndims
Q_global,dimRedResult-method
Method Q_global
PCA_L1-class
Principal Component Analysis with L1 error.
reconstruction_rmse,dimRedResult-method
Method reconstruction_rmse
as.data.frame
Converts to data.frame
UMAP-class
Umap embedding
quality,dimRedResult-method
Quality Criteria for dimensionality reduction.
print
Method print
dimRed-package
The dimRed package
getData
Method getData
getDimRedData
Method getDimRedData
distance_correlation,dimRedResult-method
Method distance_correlation
embed
dispatches the different methods for dimensionality reduction
plot
Plotting of dimRed* objects
plot_R_NX
plot_R_NX
mean_R_NX,dimRedResult-method
Method mean_R_NX
mixColorRamps
Mixing color ramps
KamadaKawai-class
Graph Embedding via the Kamada Kawai Algorithm
Isomap-class
Isomap embedding
DRR-class
Dimensionality Reduction via Regression
FastICA-class
Independent Component Analysis
FruchtermanReingold-class
Fruchterman Reingold Graph Layout
DrL-class
Distributed Recursive Graph Layout